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From Fine Art Major at RISD to Machine Learning Engineer

Dean Goldman
Machine Learning Engineer at Koios Medical
Panelist Spotlight

Dean is a Machine Learning Engineer at Koios Medical, working on machine learning algorithms that support cancer diagnosis. He has previous experience as a Data Engineer at Samsung, where he was hired after graduating from the NYC Data Science Academy. Dean graduated from the Rhode Island School of Design with a B.F.A. in Painting in 2014 and is currently enrolled in the Data Science Master’s Degree program at Johns Hopkins University.

For people without a STEM background, entering into the field of data science can be a sharply different experience than work in non-STEM fields. This transition is often challenging in many ways. Dean will share his experience changing his career to data science after graduating college with an art degree. Dean will also discuss certain skills and knowledge that he believes are essential for aspiring data scientists to absorb. TLDR: Guidance for people without STEM backgrounds getting into data science. You may like this talk if you: Don't have a STEM degree, and are transitioning to a career in data science (or software development). You may or may not have a STEM degree, but are looking for data science/software development career growth guidance. This talk is non-technical. Some basic math, data science, and programming concepts will be referenced, but it's not critical for following the discussion.
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